IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i19p6421-d651529.html
   My bibliography  Save this article

Study on the Relationship between Combustion Parameters and Cylinder Head Vibration Signal in Time Domain

Author

Listed:
  • Shaobo Ji

    (College of Energy and Power Engineering, Shandong University, Jinan 250061, China)

  • Yang Li

    (College of Energy and Power Engineering, Shandong University, Jinan 250061, China)

  • Guohong Tian

    (Department of Mechanical Engineering Sciences, University of Surrey, Guildford GU27XH, UK)

  • Rongze Ma

    (College of Energy and Power Engineering, Shandong University, Jinan 250061, China)

  • Minglei Shu

    (Shandong Computer Science Centre (National Supercomputer Centre in Jinan), Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250013, China)

  • Shiqiang Zhang

    (College of Energy and Power Engineering, Shandong University, Jinan 250061, China)

  • Wenbin Yu

    (College of Energy and Power Engineering, Shandong University, Jinan 250061, China)

  • Xin Lan

    (College of Energy and Power Engineering, Shandong University, Jinan 250061, China)

  • Yong Cheng

    (College of Energy and Power Engineering, Shandong University, Jinan 250061, China)

Abstract

Combustion-related characteristic parameters, such as the start of combustion (SoC) and the timing of the peak pressure increase rate (PIR), can be used as the feedback signals for the closed-loop control of combustion. A dynamic Finite Element Method (FEM) model was firstly developed to confirm the closely related time period between combustion pressure and vibration. On this basis, a fast processing method was developed to estimate the timings of SoC and the peak PIR in the closely related time period. This method was verified on a twelve-cylinder heavy-duty diesel engine at various engine speed and load. Results showed that the maximum deviation of the two parameters were within 2 °CA and 1.5 °CA, respectively, which suggested that the proposed method had an adequate accuracy.

Suggested Citation

  • Shaobo Ji & Yang Li & Guohong Tian & Rongze Ma & Minglei Shu & Shiqiang Zhang & Wenbin Yu & Xin Lan & Yong Cheng, 2021. "Study on the Relationship between Combustion Parameters and Cylinder Head Vibration Signal in Time Domain," Energies, MDPI, vol. 14(19), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6421-:d:651529
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/19/6421/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/19/6421/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Taghizadeh-Alisaraei, Ahmad & Ghobadian, Barat & Tavakoli-Hashjin, Teymour & Mohtasebi, Seyyed Saeid & Rezaei-asl, Abbas & Azadbakht, Mohsen, 2016. "Characterization of engine's combustion-vibration using diesel and biodiesel fuel blends by time-frequency methods: A case study," Renewable Energy, Elsevier, vol. 95(C), pages 422-432.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Taghizadeh-Alisaraei, Ahmad & Motevali, Ali & Ghobadian, Barat, 2019. "Ethanol production from date wastes: Adapted technologies, challenges, and global potential," Renewable Energy, Elsevier, vol. 143(C), pages 1094-1110.
    2. Oleksandra Shepel & Jonas Matijošius & Alfredas Rimkus & Olga Orynycz & Karol Tucki & Antoni Świć, 2022. "Combustion, Ecological, and Energetic Indicators for Mixtures of Hydrotreated Vegetable Oil (HVO) with Duck Fat Applied as Fuel in a Compression Ignition Engine," Energies, MDPI, vol. 15(21), pages 1-24, October.
    3. Tiantian Yang & Tie Wang & Guoxing Li & Jinhong Shi & Xiuquan Sun, 2018. "Vibration Characteristics of Compression Ignition Engines Fueled with Blended Petro-Diesel and Fischer-Tropsch Diesel Fuel from Coal Fuels," Energies, MDPI, vol. 11(8), pages 1-15, August.
    4. Nemat Keramat Siavash & Golamhassan Najafi & Sayed Reza Hassan-Beygi & Hossain Ahmadian & Barat Ghobadian & Talal Yusaf & Mohammed Mazlan, 2021. "Time–Frequency Analysis of Diesel Engine Noise Using Biodiesel Fuel Blends," Sustainability, MDPI, vol. 13(6), pages 1-19, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6421-:d:651529. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.